Papers

5

Total Citations

61

H-Index

5

About

Prateek Tandon is a multidisciplinary researcher whose work spans wireless communications, distributed artificial intelligence, probabilistic machine learning, and the emerging frontier of quantum robotics. His early contributions addressed practical challenges in mobile networking, most notably developing techniques for mitigating multi-path fading in mobile mesh networks — work that has garnered 21 citations and reflects his grounding in real-world systems engineering. Tandon has also made meaningful strides in the field of distributed optimization, exploring how multiple autonomous agents can balance exploration and exploitation under uncertainty within the Distributed Constraint Optimization (DCOP) framework, accumulating 17 citations. His doctoral research produced a sophisticated Bayesian Aggregation pipeline for extracting meaningful structure from noisy, correlated sensor observations — a contribution that bridges machine learning and robotic perception, cited 12 times. Perhaps most ambitiously, Tandon has positioned himself at the cutting edge of robotics by authoring foundational primers on quantum robotics, helping to define and communicate an entirely nascent field to the broader research community. Across these diverse domains, his work consistently reflects a drive to tackle complex, interdisciplinary problems at the intersection of intelligence, sensing, and emerging computational paradigms.

Research Focus

Key Achievements

5
H-Index
5
Papers
61
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Mitigating multi-path fading in a mobile mesh network
21 citations · 2011
📈 Most Prolific Year: 2011 (2 Papers)
🤝 Key Collaborators: 13
🏛 Institutions: University of Southern California, Carnegie Mellon University

Top Papers

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  5. 5
    Quantum Robotics
    5 citations · 2017

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago